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ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 21 days ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...
3DPVT
2006
IEEE
199views Visualization» more  3DPVT 2006»
14 years 20 days ago
Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision
This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filter...
Erik Pogalin, André Redert, Ioannis Patras,...
CVPR
2005
IEEE
14 years 8 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen
ICRA
2010
IEEE
225views Robotics» more  ICRA 2010»
13 years 4 months ago
3D reconstruction of fish schooling kinematics from underwater video
This paper describes a probabilistic framework to estimate the shape and position of multiple fish in a school. We model the fish shape as an ellipsoid with a curvature coefficient...
Sachit Butail, Derek A. Paley
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
13 years 12 months ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao